You one of the weirdos who watched Wall-E with humans living a life of leisure, robots handling everything, and thought: that looks like utopia? No? Just me?
I built my career in DevOps on that instinct. We had a phrase we'd say to ourselves about what we were really doing underneath all the sprint planning and pipeline automation: saving humanity from mundanity. Getting the machines to handle the repetitive so humans could, well, add the human touch. What I didn't expect was that it would become the defining challenge for an entire generation of tech services founders. Myself included. In our experience, AI-native firms are seeing gross margins expand from the traditional 30-50% toward 75%+, with quicker deal cycles, and leaner teams. Buyers and investors are already sorting firms into two categories. AI-first and everyone else, and the valuation gap between them is widening every quarter.
Stage 1: We're building a machine
As technical experts, the instinct is to believe you're selling expertise. The first and most important shift on this journey is realising you're not. You're building a machine that solves a problem. And the key word in that sentence isn't "problem" — it's "a." One problem. Narrow focus is a fundamental principle of economics: specialisation generates outsized returns. What's new is what AI does to the equation: when you narrow your focus, you get a deeper understanding of that problem. Coupled with AI's ability to build IP 10x faster, you can leave your competition behind.
But IP alone isn't enough. It has to be paired with an investment in data and an experimentation engine. Your business needs to run experiments faster, collect data from every client implementation, and iterate on what you learn, all while keeping your focus deliberately constrained. That means financial planning, structured feedback loops, and OKRs tied to learning, not just revenue.
Stage 2: The AI-powered growth engine
A handshake requires a hand. The goal of this stage isn't to replace human selling. It's to make your humans dramatically better at it.
With your foundations set and your positioning thesis proven, the work is to mature the IP from Stage 1 into something explainable and demoable. A platform that doesn't just describe your expertise. It shows it. The complete customer experience, previewed before a contract is signed. That platform does something a thousand words in a proposal never could: it makes the value tangible.
But the bigger shift is what intelligence in the system does for your people. We've all walked into discovery meetings underprepared, promising answers a week later. The data platform you've been building changes that. It enriches every sales and marketing interaction, so your team shows up informed, personalised, and ready. Not AI slop. Information recall of a computer with the social skills of a human.
Stage 3: Turbocharging the machine
You've proven the model. Delivery is AI-powered. Sales is systematic. Revenue is growing and you can point to the engine generating it. Now the question changes from does this work to how hard can we push it.
Whether or not you seek outside investment, you will be investing in your business at this stage. The discipline required is understanding exactly which levers you're not pulling. And why. What would it cost to remove this bottleneck? What does the return look like with your own capital? What does it look like with outside money and different assumptions? Running both scenarios is how you decide whether to raise, when to raise, and what you'd actually do with it.
More importantly, if you can't identify the levers yet, that's a signal to experiment more until you can build them. Growth isn't just a goal at this stage. It's the primary driver of your firm's value. Everything else follows from it.
Stage 4: Autonomous machine
A machine doesn't need you to run it. That's the point. And the test.
The ultimate proof that you've built a machine rather than packaged your own expertise is acquirability. Not that you have to sell. But if a sophisticated buyer couldn't pick up your business and run it without you, it isn't a machine yet. Acquirability is the benchmark that keeps you honest.
For first-time founders, we'd go further: when you reach this stage, seriously consider taking the exit. Not because you're done. Because the financial freedom it gives you changes everything about what you're able to do next. Without personal financial pressure shaping your decisions, you can take bigger swings, command the respect of an established entrepreneur, and build without compromise. Jason Cohen makes this case better than we can. It's worth your time.
You don't have to figure this out alone
The firms making this journey aren't hypothetical. They're real businesses, part of the Vixul portfolio, and they're already moving through these stages right now. Some are laying the foundations of Stage 1. Others are turbocharging into Stage 3. A few are approaching something that looks genuinely autonomous.
This year, we're bringing them together in person at VixulCon, alongside industry veterans and VCs who have seen what this transition looks like at every stage of the journey. It's a room full of people who are doing the work, not talking about it.
We're currently at capacity, but if you'd like to be considered for any spots that open up, and to stay updated on what we're building, submit your name for the waitlist. Even if we are not able to include you, we'll follow up and share information with you.